The specific scenario for the competition considers a smart (noise-like) jammer that slowly increases the transmitted power to increasingly degrade the receiver performance while remaining stealth for as long as possible.
The objectives of the challenge are the following:

1. detection of the interference starting time instant;
2. estimation of the direction of arrival of the received interference signal;
3. mitigation of the interference effects;
4. the above items must be guaranteed throughout the duration of the jamming action.

Teams can consist of up to 5 members and at least one member must be regularly registered as student to the conference before downloading the dataset. Data will be provided in a compressed archive protected by a password, which will be disclosed after the registration, and contain a grace period without jamming afterwards the jamming power starts to increase over the time.

In addition, the archive also contains a document with the description of data format. Each team must submit a paper of at most 5 pages (according to conference guidelines) where the proposed solutions and the results and figures (including the angular information every 1 second) are presented.
The submission deadline is August 1, 2025 and the contributions must be sent to the following email address:

PASPS@eusipco2025.org

The competition technical committee will review the submitted papers and will select 2 winners that should attend the conference and present their work during the special session “Multi-dimensional Signal Processing Techniques for Sensing”, when they will be awarded.

The awards are

1^st ranked: free publication of an extended paper on EURASIP Journal on Advances in Signal Processing (article processing charges are covered by an NI contribution of € 500 and an additional discount from EURASIP).

2^nd ranked: NI contribution of € 1000 for an on-site activity at ESA ESTEC Labs (this is open to citizens of the ESA member states and requires the submission of a project proposal to ESA).

Dataset download instructions

After the registration as student, an email containing a password will be sent. The password can be used to download the dataset from the following link

[link available soon]